A method, system, device and medium for dividing navigation areas based on adaptive sea conditions
By generating the large circle route and using spatiotemporal interpolation and improved clustering algorithms, the problem of inaccurate navigation areas in the existing technology is solved, and refined navigation areas are realized, and the path planning quality of ocean-going ships and unmanned ships is improved.
CN119714272BActive Publication Date: 2025-08-29SANYA YAZHOU BAY INST OF DEEP SEA SCI & TECH SHANGHAI JIAOTONG UNIV
Patent Information
- Application Number
- CN202411778987.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-05
- Publication Date
- 2025-08-29
- Estimated Expiration
- 2044-12-05
AI Technical Summary
Technical Problem
The existing navigation area division methods cannot accurately and precisely describe the real external sea conditions, resulting in low quality of ocean-going ship route optimization and unmanned ship path planning.
Method used
By obtaining the navigation data of the target ship, a large circle route is generated, the space-time interpolation method is used to obtain the space-time sea condition data, and the improved clustering algorithm is used to cluster the sea condition data to obtain refined navigation area division.
Benefits of technology
Accurate and refined navigation area division has been achieved, and the quality of ocean-going ship route optimization and unmanned ship path planning has been improved.
✦ Generated by Eureka AI based on patent content.
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Figure CN119714272B_ABST
Abstract
The present invention relates to the technical field of route planning, and discloses a method, system, device, and medium for dividing a navigation area adaptive to sea conditions. The present invention first obtains a great circle route with the shortest navigation distance of a target ship in a target navigation area based on navigation data of a target ship, then obtains accurate and true spatiotemporal sea condition data based on the navigation data on the great circle route using a spatiotemporal interpolation method, and then iteratively clusters the spatiotemporal sea condition data using a clustering algorithm with improved weight coefficients for sea condition characteristics to obtain refined cluster clusters. This method can achieve accurate and refined navigation area division, provide reliable data support for ocean-going vessel route optimization and unmanned vessel path planning, and further improve the quality of ocean-going vessel route optimization and unmanned vessel path planning.
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Citation Information
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